Pinned Repositories
Analytics-Assignment-SQL
Capstone-Real-Estate
Carbon-Emission-Project-SQL
Conversational-AI-ChatBot
Exploratory-Data-Analysis-EDA-on-Airbnb-Listings
FIFA19-data-analysis-using-SQL
Fraud-Detection-Project-Unveiling-Anomalies-and-Indicators-in-Transaction-Data
Handwritten-Digit-Recognition
Problem Statement: Create a basic handwriting recognition system using a pre-trained machine learning model (e.g., MNIST dataset). Users can write characters or digits, and the model should predict what they've written.
Heart-Disease-Prediction-using-Machine-Learning
House-Loan-Data-Analysis
priyankalad123's Repositories
priyankalad123/Analytics-Assignment-SQL
priyankalad123/Capstone-Real-Estate
priyankalad123/Carbon-Emission-Project-SQL
priyankalad123/Conversational-AI-ChatBot
priyankalad123/Exploratory-Data-Analysis-EDA-on-Airbnb-Listings
priyankalad123/FIFA19-data-analysis-using-SQL
priyankalad123/Fraud-Detection-Project-Unveiling-Anomalies-and-Indicators-in-Transaction-Data
priyankalad123/Handwritten-Digit-Recognition
Problem Statement: Create a basic handwriting recognition system using a pre-trained machine learning model (e.g., MNIST dataset). Users can write characters or digits, and the model should predict what they've written.
priyankalad123/Heart-Disease-Prediction-using-Machine-Learning
priyankalad123/House-Loan-Data-Analysis
priyankalad123/Insta-user-analysis
priyankalad123/Inventory-Management-System
priyankalad123/IRIS-FLOWER-CLASSIFICATION-
The Iris dataset is analyzed, visualized, and used to train machine learning models, including Logistic Regression, Support Vector Machines, K-Nearest Neighbors, Naive Bayes, and Decision Trees. The Naive Bayes model yields the highest accuracy at 94.7%, making it the selected model for predicting Iris species based on sepal and petal features.
priyankalad123/LibraryManagementSystemAndStoredProcedures
priyankalad123/Music-Store-Data-Analysis-Using-SQL
priyankalad123/Network-Intrusion-Detection
priyankalad123/Optimizing-Online-Sports-Retail-Revenue-SQL
priyankalad123/priyankalad123-Comcast-Telecom-Consumer-Complaints
Problem Statement: Analyze Comcast Telecom consumer complaints data to identify trends, categorize issues, and assess resolution rates. The objective is to derive actionable insights for improving customer satisfaction and service quality, ultimately enhancing Comcast's complaint resolution processes.
priyankalad123/Product-Recomandation-system
priyankalad123/Sentiment-Analysis-Of-Amazon-Review
priyankalad123/Stock-Market-Prediction-And-Forecasting-Using-Stacked-LSTM
priyankalad123/Student-Mental-Health-Analysis-using-SQL
priyankalad123/Swiggy-Data-Analysis-Using-SQL
priyankalad123/Titanic-Survival-Prediction
The Titanic Survival Prediction project analyzes passenger data, explores survival factors, and employs machine learning models. After cleaning and visualizing data, models like Logistic Regression and Naive Bayes predict survival. Naive Bayes achieves 76% accuracy, offering insights into survival patterns.
priyankalad123/US-Crime-Data-Exploration-and-Analysis